In this paper an efficient technique is described for managing the congestion in electric transmission network based on rescheduling the nearby generators and/or shedding some of the loads. To incorporate the uncertainty in the system objectives and parameters, fuzzy environment is considered for the formulation of the problem. In the solution process bio-inspired computational technique, genetic algorithm (GA) is used. The approach is illustrated by standard IEEE 30-bus 6-generator test system.
CITATION STYLE
Mukhopadhyay, D. S., Chanda, R., Chakraborti, D., & Biswas, P. (2018). Soft computing approach to electrical transmission network congestion management. In Lecture Notes in Networks and Systems (Vol. 11, pp. 59–70). Springer. https://doi.org/10.1007/978-981-10-3953-9_7
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